Maria Karasarides

3.1k total citations · 1 hit paper
20 papers, 2.3k citations indexed

About

Maria Karasarides is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Karasarides has authored 20 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Karasarides's work include Melanoma and MAPK Pathways (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Maria Karasarides is often cited by papers focused on Melanoma and MAPK Pathways (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Maria Karasarides collaborates with scholars based in United States, United Kingdom and Spain. Maria Karasarides's co-authors include Richard Marais, Claudia Wellbrock, Christopher J. Marshall, Dan Niculescu‐Duvaz, Caroline J. Springer, Lesley Ogilvie, Jan Martin, Douglas Hedley, Robert Hayward and D. K. Bird and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Maria Karasarides

18 papers receiving 2.3k citations

Hit Papers

The RAF proteins take centre stage 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Karasarides United States 12 1.8k 833 307 262 260 20 2.3k
Alastair J. King United States 18 1.6k 0.9× 659 0.8× 289 0.9× 182 0.7× 223 0.9× 28 2.0k
Narsis Attar United States 11 2.1k 1.2× 1.3k 1.6× 194 0.6× 298 1.1× 297 1.1× 13 2.6k
Jessie Villanueva United States 18 1.6k 0.9× 799 1.0× 314 1.0× 145 0.6× 282 1.1× 30 2.1k
Jiing‐Dwan Lee United States 21 2.1k 1.2× 472 0.6× 450 1.5× 157 0.6× 230 0.9× 26 2.7k
Jiancheng Hu China 19 1.4k 0.8× 390 0.5× 219 0.7× 252 1.0× 246 0.9× 51 2.0k
Paul Wan United Kingdom 9 1.9k 1.1× 991 1.2× 208 0.7× 425 1.6× 130 0.5× 9 2.5k
Ensar Halilovic United States 19 1.8k 1.0× 977 1.2× 373 1.2× 336 1.3× 128 0.5× 33 2.3k
Kathryn Balmanno United Kingdom 25 2.4k 1.3× 956 1.1× 309 1.0× 429 1.6× 397 1.5× 45 3.2k
Katherine G. Moss United States 15 1.2k 0.7× 666 0.8× 423 1.4× 189 0.7× 182 0.7× 17 1.9k
Annalisa Petrelli Italy 19 1.4k 0.8× 490 0.6× 322 1.0× 132 0.5× 175 0.7× 26 2.1k

Countries citing papers authored by Maria Karasarides

Since Specialization
Citations

This map shows the geographic impact of Maria Karasarides's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maria Karasarides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Karasarides more than expected).

Fields of papers citing papers by Maria Karasarides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Karasarides. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maria Karasarides. The network helps show where Maria Karasarides may publish in the future.

Co-authorship network of co-authors of Maria Karasarides

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Karasarides. A scholar is included among the top collaborators of Maria Karasarides based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Karasarides. Maria Karasarides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Badve, Sunil, Tobias Lang, David S. Mulder, et al.. (2024). AI based PD-L1 CPS quantifier software to identify more patients for checkpoint therapy in gastric cancer at pathologist-level interobserver concordance.. Journal of Clinical Oncology. 42(16_suppl). 2633–2633. 2 indexed citations
3.
Robert, Marie E., Josef Rüschoff, Bharat Jasani, et al.. (2023). High Interobserver Variability Among Pathologists Using Combined Positive Score to Evaluate PD-L1 Expression in Gastric, Gastroesophageal Junction, and Esophageal Adenocarcinoma. Modern Pathology. 36(5). 100154–100154. 37 indexed citations
5.
Cooper, Dennis, Deepu Madduri, Suzanne Lentzsch, et al.. (2019). Safety and Preliminary Clinical Activity of REGN5458, an Anti-Bcma x Anti-CD3 Bispecific Antibody, in Patients with Relapsed/Refractory Multiple Myeloma. Blood. 134(Supplement_1). 3176–3176. 31 indexed citations
6.
Papadopoulos, Kyriakos P., Nehal J. Lakhani, Melissa L. Johnson, et al.. (2019). First-in-human study of REGN3767 (R3767), a human LAG-3 monoclonal antibody (mAb), ± cemiplimab in patients (pts) with advanced malignancies.. Journal of Clinical Oncology. 37(15_suppl). 2508–2508. 30 indexed citations
7.
Papadopoulos, Kyriakos P., Nehal J. Lakhani, Melissa L. Johnson, et al.. (2018). A study of REGN3767, an anti-LAG-3 antibody, alone and in combination with cemiplimab (REGN2810), an anti-PD1 antibody, in advanced cancers.. Journal of Clinical Oncology. 36(15_suppl). TPS3127–TPS3127. 5 indexed citations
11.
Hübner, Anette, David J. Mulholland, Claire L. Standen, et al.. (2012). JNK and PTEN cooperatively control the development of invasive adenocarcinoma of the prostate. Proceedings of the National Academy of Sciences. 109(30). 12046–12051. 74 indexed citations
12.
Heller, Kevin N., Anne C. Pavlick, F. Stephen Hodi, et al.. (2011). Safety and survival analysis of ipilimumab therapy in patients with stable asymptomatic brain metastases.. Journal of Clinical Oncology. 29(15_suppl). 8581–8581. 29 indexed citations
13.
Gray‐Schopfer, Vanessa C., Maria Karasarides, Robert Hayward, & Richard Marais. (2007). Tumor Necrosis Factor-α Blocks Apoptosis in Melanoma Cells when BRAF Signaling Is Inhibited. Cancer Research. 67(1). 122–129. 96 indexed citations
14.
Jaeschke, Anja, Maria Karasarides, Juan‐José Ventura, et al.. (2006). JNK2 Is a Positive Regulator of the cJun Transcription Factor. Molecular Cell. 23(6). 899–911. 134 indexed citations
15.
Mavria, Georgia, Yvonne Vercoulen, Maggie Yeo, et al.. (2006). ERK-MAPK signaling opposes Rho-kinase to promote endothelial cell survival and sprouting during angiogenesis. Cancer Cell. 9(1). 33–44. 268 indexed citations
16.
Karasarides, Maria, et al.. (2006). Active Ras‐induced effects on skeletal myoblast differentiation and apoptosis are independent of constitutive PI3‐kinase activity. Cell Biology International. 30(4). 308–318. 9 indexed citations
17.
Karasarides, Maria, Antonio Chiloeches, Robert Hayward, et al.. (2004). B-RAF is a therapeutic target in melanoma. Oncogene. 23(37). 6292–6298. 360 indexed citations
18.
Wellbrock, Claudia, Maria Karasarides, & Richard Marais. (2004). The RAF proteins take centre stage. Nature Reviews Molecular Cell Biology. 5(11). 875–885. 920 indexed citations breakdown →
19.
Wellbrock, Claudia, Lesley Ogilvie, Douglas Hedley, et al.. (2004). V599EB-RAF is an Oncogene in Melanocytes. Cancer Research. 64(7). 2338–2342. 271 indexed citations
20.
Karasarides, Maria, Bela Anand‐Apte, & Alan Wolfman. (2001). A Direct Interaction between Oncogenic Ha-Ras and Phosphatidylinositol 3-Kinase Is Not Required for Ha-Ras-dependent Transformation of Epithelial Cells. Journal of Biological Chemistry. 276(43). 39755–39764. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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